%0 Journal Article %J Kidney Int %D 2022 %T Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. %A Gorski, Mathias %A Rasheed, Humaira %A Teumer, Alexander %A Thomas, Laurent F %A Graham, Sarah E %A Sveinbjornsson, Gardar %A Winkler, Thomas W %A Günther, Felix %A Stark, Klaus J %A Chai, Jin-Fang %A Tayo, Bamidele O %A Wuttke, Matthias %A Li, Yong %A Tin, Adrienne %A Ahluwalia, Tarunveer S %A Arnlöv, Johan %A Åsvold, Bjørn Olav %A Bakker, Stephan J L %A Banas, Bernhard %A Bansal, Nisha %A Biggs, Mary L %A Biino, Ginevra %A Böhnke, Michael %A Boerwinkle, Eric %A Bottinger, Erwin P %A Brenner, Hermann %A Brumpton, Ben %A Carroll, Robert J %A Chaker, Layal %A Chalmers, John %A Chee, Miao-Li %A Chee, Miao-Ling %A Cheng, Ching-Yu %A Chu, Audrey Y %A Ciullo, Marina %A Cocca, Massimiliano %A Cook, James P %A Coresh, Josef %A Cusi, Daniele %A de Borst, Martin H %A Degenhardt, Frauke %A Eckardt, Kai-Uwe %A Endlich, Karlhans %A Evans, Michele K %A Feitosa, Mary F %A Franke, Andre %A Freitag-Wolf, Sandra %A Fuchsberger, Christian %A Gampawar, Piyush %A Gansevoort, Ron T %A Ghanbari, Mohsen %A Ghasemi, Sahar %A Giedraitis, Vilmantas %A Gieger, Christian %A Gudbjartsson, Daniel F %A Hallan, Stein %A Hamet, Pavel %A Hishida, Asahi %A Ho, Kevin %A Hofer, Edith %A Holleczek, Bernd %A Holm, Hilma %A Hoppmann, Anselm %A Horn, Katrin %A Hutri-Kähönen, Nina %A Hveem, Kristian %A Hwang, Shih-Jen %A Ikram, M Arfan %A Josyula, Navya Shilpa %A Jung, Bettina %A Kähönen, Mika %A Karabegović, Irma %A Khor, Chiea-Chuen %A Koenig, Wolfgang %A Kramer, Holly %A Krämer, Bernhard K %A Kuhnel, Brigitte %A Kuusisto, Johanna %A Laakso, Markku %A Lange, Leslie A %A Lehtimäki, Terho %A Li, Man %A Lieb, Wolfgang %A Lind, Lars %A Lindgren, Cecilia M %A Loos, Ruth J F %A Lukas, Mary Ann %A Lyytikäinen, Leo-Pekka %A Mahajan, Anubha %A Matias-Garcia, Pamela R %A Meisinger, Christa %A Meitinger, Thomas %A Melander, Olle %A Milaneschi, Yuri %A Mishra, Pashupati P %A Mononen, Nina %A Morris, Andrew P %A Mychaleckyj, Josyf C %A Nadkarni, Girish N %A Naito, Mariko %A Nakatochi, Masahiro %A Nalls, Mike A %A Nauck, Matthias %A Nikus, Kjell %A Ning, Boting %A Nolte, Ilja M %A Nutile, Teresa %A O'Donoghue, Michelle L %A O'Connell, Jeffrey %A Olafsson, Isleifur %A Orho-Melander, Marju %A Parsa, Afshin %A Pendergrass, Sarah A %A Penninx, Brenda W J H %A Pirastu, Mario %A Preuss, Michael H %A Psaty, Bruce M %A Raffield, Laura M %A Raitakari, Olli T %A Rheinberger, Myriam %A Rice, Kenneth M %A Rizzi, Federica %A Rosenkranz, Alexander R %A Rossing, Peter %A Rotter, Jerome I %A Ruggiero, Daniela %A Ryan, Kathleen A %A Sabanayagam, Charumathi %A Salvi, Erika %A Schmidt, Helena %A Schmidt, Reinhold %A Scholz, Markus %A Schöttker, Ben %A Schulz, Christina-Alexandra %A Sedaghat, Sanaz %A Shaffer, Christian M %A Sieber, Karsten B %A Sim, Xueling %A Sims, Mario %A Snieder, Harold %A Stanzick, Kira J %A Thorsteinsdottir, Unnur %A Stocker, Hannah %A Strauch, Konstantin %A Stringham, Heather M %A Sulem, Patrick %A Szymczak, Silke %A Taylor, Kent D %A Thio, Chris H L %A Tremblay, Johanne %A Vaccargiu, Simona %A van der Harst, Pim %A van der Most, Peter J %A Verweij, Niek %A Völker, Uwe %A Wakai, Kenji %A Waldenberger, Melanie %A Wallentin, Lars %A Wallner, Stefan %A Wang, Judy %A Waterworth, Dawn M %A White, Harvey D %A Willer, Cristen J %A Wong, Tien-Yin %A Woodward, Mark %A Yang, Qiong %A Yerges-Armstrong, Laura M %A Zimmermann, Martina %A Zonderman, Alan B %A Bergler, Tobias %A Stefansson, Kari %A Böger, Carsten A %A Pattaro, Cristian %A Köttgen, Anna %A Kronenberg, Florian %A Heid, Iris M %X

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.

%B Kidney Int %8 2022 Jun 16 %G eng %R 10.1016/j.kint.2022.05.021